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# Analytics Engineer

- **Company:** Mercor, Inc.
- **Location:** San Francisco, CA, United States
- **Experience:** Expert
- **Salary:** $10,000.0 - $15,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Business Analytics Applications, Data Analysis, Cloud Database, Information Engineering, Data Infrastructure, Python (Programming Language), SQL Databases, Snowflake, AI Coding Agents, Looker Analytics, Data Pipelines
- **Published:** October 27, 2026
- **Apply:** https://startup.jobs/analytics-engineer-mercor-10616297

## About the Role

* 8+ years of experience in Analytics Engineering, Data Engineering, Data Science, or a related technical role.
 * Strong technical fundamentals: Expert SQL, data modeling, Python, dbt, cloud data warehouses, and BI tools (e.g., Hex, Looker).
 * Exceptional autonomy: Proven ability to independently identify problems, define roadmaps, and deliver high-impact projects with minimal direction.
 * Strong business judgment and communication: Able to work directly with senior stakeholders, understand business priorities, and translate ambiguity into actionable solutions.
 * Rapid learning and AI fluency: Quickly master unfamiliar domains and technologies, and leverage AI tools to dramatically increase productivity.
 * Proven track record of execution: Consistently deliver high-quality work at exceptional speed, take ownership beyond your formal responsibilities, and thrive in demanding, fast-moving environments.

Work Environment

## Description

We're looking for an Analytics Engineer to build the data infrastructure, analytics, and automations that power decision-making and operations across Mercor.

This is a high-ownership role where you'll work directly with business leaders to identify problems, define roadmaps, and deliver solutions end-to-end. Rather than waiting for stakeholder requests, you'll proactively uncover bottlenecks and opportunities, often before others recognize them.

We're looking for someone with exceptional technical ability, strong business judgment, and a bias for action. You should be a fast learner who leverages AI tools to dramatically increase your productivity and thrives in a high-intensity environment.

What You'll Do

 * Drive your own roadmap: Partner directly with stakeholders, proactively identify high-impact problems, and independently prioritize and execute solutions.
 * Build scalable data infrastructure: Develop reliable data pipelines, models, and metrics using SQL, dbt, and Snowflake.
 * Own analytics end-to-end: Translate ambiguous business problems into production-ready data models, dashboards, and analytical tools.
 * Automate business workflows: Identify operational bottlenecks and build automations that eliminate manual work and improve efficiency.
 * Leverage AI to multiply output: Use AI coding agents and emerging tools to accelerate development and continuously improve how analytics engineering gets done.